Dimensionality reduction of speech features using nonlinear principal components analysis.
Stephen A. ZahorianTara SinghHongbing HuPublished in: INTERSPEECH (2007)
Keyphrases
- principal components analysis
- dimensionality reduction
- feature extraction
- principal components
- dimensionality reduction methods
- hand geometry
- high dimensionality
- feature space
- high dimensional
- linear discriminant analysis
- linear dimensionality reduction
- high dimensional data
- principal component analysis
- exploratory data analysis
- text categorisation
- machine learning
- feature set
- pattern recognition
- data points
- image features
- multivariate statistical analysis
- similarity measure
- lexical features
- locally linear embedding
- low dimensional
- audio visual
- data representation
- manifold learning
- covariance matrix